Real-Time Situation Evaluation and its Application to a Spectating System for RoboCup Soccer

Abstract

This paper describes a real-time situation evaluation system for RoboCup Soccer Simulation 2D League and its application to a spectating system. The aim of developing the spectating system is to make the spectator’s experience of watching games more entertaining by expressing the excitement of the audience based on the game situation, and making it easy to understand the game situation. For this purpose, the evaluation value of the game situation called SituationScore is estimated in real time during the ongoing game, and the excitement of the game is expressed by the audio and visual effects according to the estimated SituationScore. How SituationScore is obtained using a deep learning method and also how a soccer monitor application is extended with audio and visual effects are explained.